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CA Technologies Sr. Product Marketing Manager Joins the Vendor Forum

Pete Goldin
Editor and Publisher
APMdigest

Derek Stevens (@DerekintheCloud), Sr. Product Marketing Manager at CA Technologies has joined the APMdigest Vendor Forum.

Stevens specializes in Mobile App Analytics. He has spent 5 years in tech marketing at CA Technologies with a focus on IT trends, such as cloud, big data, and mobility.

CA Technologies creates software that fuels transformation for companies and enables them to seize the opportunities of the application economy. From planning, to development, to management and security, CA is working with companies worldwide to change the way we live, transact, and communicate – across mobile, private and public cloud, distributed and mainframe environments.

Application Performance Management (APM) from CA Technologies helps make every user interaction a loyalty-building experience. Designed to scale to your organization’s needs, CA APM can manage billions of transactions from any device, automatically correlating multiple metrics to help you sort through the data and act decisively to protect the customer experience.

CA APM is designed with the sole purpose of protecting and building your brand reputation, and today app-brand-reputation is directly tied to the business outcome. With CA APM, you can deliver better performance and ensure an exceptional end-user experience for critical applications. Uniquely offering 360° Root-cause Diagnostics, Embedded Multi-Variant Analytics, Enterprise-Scale Metric Analysis so that every user transaction becomes a loyalty-building interaction. The largest and most innovative global organizations use CA APM to proactively manage applications so every user transaction becomes a loyalty-building interaction.

CA APM is a premier APM solution in the marketplace for enterprise organizations who demand the absolute best when monitoring applications they rely upon to drive revenue and strengthen their brand reputation.

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

CA Technologies Sr. Product Marketing Manager Joins the Vendor Forum

Pete Goldin
Editor and Publisher
APMdigest

Derek Stevens (@DerekintheCloud), Sr. Product Marketing Manager at CA Technologies has joined the APMdigest Vendor Forum.

Stevens specializes in Mobile App Analytics. He has spent 5 years in tech marketing at CA Technologies with a focus on IT trends, such as cloud, big data, and mobility.

CA Technologies creates software that fuels transformation for companies and enables them to seize the opportunities of the application economy. From planning, to development, to management and security, CA is working with companies worldwide to change the way we live, transact, and communicate – across mobile, private and public cloud, distributed and mainframe environments.

Application Performance Management (APM) from CA Technologies helps make every user interaction a loyalty-building experience. Designed to scale to your organization’s needs, CA APM can manage billions of transactions from any device, automatically correlating multiple metrics to help you sort through the data and act decisively to protect the customer experience.

CA APM is designed with the sole purpose of protecting and building your brand reputation, and today app-brand-reputation is directly tied to the business outcome. With CA APM, you can deliver better performance and ensure an exceptional end-user experience for critical applications. Uniquely offering 360° Root-cause Diagnostics, Embedded Multi-Variant Analytics, Enterprise-Scale Metric Analysis so that every user transaction becomes a loyalty-building interaction. The largest and most innovative global organizations use CA APM to proactively manage applications so every user transaction becomes a loyalty-building interaction.

CA APM is a premier APM solution in the marketplace for enterprise organizations who demand the absolute best when monitoring applications they rely upon to drive revenue and strengthen their brand reputation.

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...